EDBT 2026 Demo / reviewers in the wild / expert
Sandrine Imbeaud
dblp:44/197
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
cancer genomics |
0.3 | 1 | 2018 | Palimpsest: an R package for studying mutational and structural variant signatures along clonal evolution in cancer · Bioinform. 2018 |
Bioinformatics and computational biology › cancer genomics › tumor evolution
clonal evolution |
0.3 | 1 | 2018 | Palimpsest: an R package for studying mutational and structural variant signatures along clonal evolution in cancer · Bioinform. 2018 |
Bioinformatics and computational biology › cancer genomics
mutational signature analysis |
0.3 | 1 | 2018 | Palimpsest: an R package for studying mutational and structural variant signatures along clonal evolution in cancer · Bioinform. 2018 |
Bioinformatics and computational biology › cancer genomics
structural variant signature extraction |
0.3 | 1 | 2018 | Palimpsest: an R package for studying mutational and structural variant signatures along clonal evolution in cancer · Bioinform. 2018 |
Methods — techniques the papers use, named apart from their topics
statistical inference · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Palimpsest: an R package for studying mutational and structural variant signatures along clonal evolution in cancerabstractSummary: Cancer genomes are altered by various mutational processes and, like palimpsests, bear the signatures of these different processes. The Palimpsest R package provides a complete workflow for the characterization and visualization of mutational signatures and their evolution along tumor development. The package covers a wide range of functions for extracting both base substitution and structural variant signatures, inferring the clonality of each alteration and analyzing the evolution of mutational processes between early clonal and late subclonal events. Palimpsest also estimates the probability of each mutation being due to each process to predict the mechanisms at the origin of driver events. Palimpsest is an easy-to-use toolset for reconstructing the natural history of a tumor using whole exome or whole genome sequencing data. Availability and implementation: Palimpsest is freely available at www.github.com/FunGEST/Palimpsest. Supplementary information: Supplementary data are available at Bioinformatics online. Jayendra Shinde, Quentin Bayard, Sandrine Imbeaud, Théo Z. Hirsch, Victor Renault, Jessica Zucman-Rossi, Eric Letouzé |
Bioinform. | 3 |